{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Use OSMnx to get street networks by place name\n",
    "\n",
    "Author: [Geoff Boeing](https://geoffboeing.com/)\n",
    "\n",
    "  - [Overview of OSMnx](http://geoffboeing.com/2016/11/osmnx-python-street-networks/)\n",
    "  - [GitHub repo](https://github.com/gboeing/osmnx)\n",
    "  - [Examples, demos, tutorials](https://github.com/gboeing/osmnx-examples)\n",
    "  - [Documentation](https://osmnx.readthedocs.io/en/stable/)\n",
    "  - [Journal article/citation](http://geoffboeing.com/publications/osmnx-complex-street-networks/)\n",
    "  \n",
    "Once you've perused the features demo and overview notebooks, this notebook provides further demonstration of querying by place name with OSMnx."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.0.0'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import osmnx as ox\n",
    "%matplotlib inline\n",
    "ox.config(log_console=True)\n",
    "ox.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OSMnx lets you download street network data and build topologically corrected multidigraphs, project to UTM and plot the networks, and save the street network as SVGs, GraphML files, .osm files, shapefiles, or geopackages for later use. The street networks are directed and preserve one-way directionality. API responses can be cached locally so OSMnx doesn't have to request the same data from the API multiple times: saving bandwidth, increasing speed, and enabling reproducibility.\n",
    "\n",
    "You can download a street network by providing OSMnx any of the following:\n",
    "  - a bounding box\n",
    "  - a lat-long point plus a distance (either distance along the network, or cardinal)\n",
    "  - an address plus a distance (either distance along the network, or cardinal)\n",
    "  - a place name or list of place names (for OSMnx to automatically geocode and get the boundary of)\n",
    "  - a polygon of the desired street network's boundaries\n",
    "\n",
    "You can also specify several different built-in network types:\n",
    "  - `drive` - get drivable public streets (but not service roads)\n",
    "  - `drive_service` - get drivable streets, including service roads\n",
    "  - `walk` - get all streets and paths that pedestrians can use (this network type ignores one-way directionality)\n",
    "  - `bike` - get all streets and paths that cyclists can use\n",
    "  - `all` - download all non-private OSM streets and paths\n",
    "  - `all_private` - download all OSM streets and paths, including private-access ones\n",
    "\n",
    "Or you can define your own fine-tuned network type using OSMnx's `custom_filter` parameter (to get just highways, or railways, canals, etc).\n",
    "\n",
    "## 1. Query/download place boundaries\n",
    "\n",
    "The `graph_from_place` function uses place boundary geocoding logic to find the network within your place's boundary. Let's look briefly at this place boundary querying before we get to street networks. You can download by cities, neighborhoods, boroughs, counties, states, or countries: anything with geocodable polygon boundaries in OSM's database. Notice the polygon geometries represent political boundaries, not physical/land boundaries. OSMnx will turn your geocoded place (or multiple places) boundaries into a geopandas GeoDataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# neighborhoods or boroughs\n",
    "gdf = ox.geocode_to_gdf('Manhattan, New York, New York, USA')\n",
    "\n",
    "# counties\n",
    "gdf = ox.geocode_to_gdf('Cook County, Illinois, United States')\n",
    "\n",
    "# states\n",
    "gdf = ox.geocode_to_gdf('Iowa')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# you can also buffer the place boundaries (0.5 km in this example)\n",
    "gdf = ox.geocode_to_gdf('Piedmont, California, USA', buffer_dist=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# you can get multiple places in a single query\n",
    "gdf = ox.geocode_to_gdf(['United Kingdom', 'Ireland'])\n",
    "\n",
    "# or optionally buffer them\n",
    "places = ['Berkeley, California, USA', \n",
    "          'Oakland, California, USA',\n",
    "          'Piedmont, California, USA',\n",
    "          'Emeryville, California, USA',\n",
    "          'Alameda, Alameda County, CA, USA']\n",
    "gdf = ox.geocode_to_gdf(places, buffer_dist=500)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `geocode_to_gdf` function takes a `which_result` argument. Its default value `None` makes OSMnx retrieve the first result with geometry type Polygon/MultiPolygon (if one exists on OSM). Alternatively, pass an integer value as `which_result` to retrieve a specific geocoding result, regardless of its geometry type.\n",
    "\n",
    "When querying, be specific and explicit, and sanity check the results. Try passing a dict instead of a string to be more explicit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.027917428303156192"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# oops, this gets the county of alameda rather than the city!\n",
    "alameda1 = ox.geocode_to_gdf('Alameda, California, USA')\n",
    "\n",
    "# this gets the city of alameda\n",
    "alameda2 = ox.geocode_to_gdf({'city'   : 'Alameda',\n",
    "                              'county' : 'Alameda County',\n",
    "                              'state'  : 'California',\n",
    "                              'country': 'USA'})\n",
    "\n",
    "# the city is a very small part of the county\n",
    "alameda1 = ox.project_gdf(alameda1)\n",
    "alameda2 = ox.project_gdf(alameda2)\n",
    "alameda2.area.iloc[0] / alameda1.area.iloc[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OSM resolves 'Mexico' to Mexico City (as the first geocoding result) and returns a single point at the center of the city. If we want the boundaries of the country of Mexico, we can 1) specify which_result=None to find the first polygon and hope it's the country, or 2) pass a dict containing a structured query to specify that we want Mexico the country instead of Mexico the city."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "shapely.geometry.multipolygon.MultiPolygon"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mexico = ox.geocode_to_gdf('Mexico', which_result=1)\n",
    "type(mexico['geometry'].iloc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "shapely.geometry.multipolygon.MultiPolygon"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# let the geocoder find the first Polygon/MultiPolygon result\n",
    "mexico = ox.geocode_to_gdf('Mexico', which_result=None)\n",
    "type(mexico['geometry'].iloc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "shapely.geometry.multipolygon.MultiPolygon"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# instead of a string, you can pass a dict containing a structured query for better precision\n",
    "mexico = ox.geocode_to_gdf({'country':'Mexico'})\n",
    "type(mexico['geometry'].iloc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# you can pass multiple queries with mixed types (dicts and strings)\n",
    "mx_gt_tx = ox.geocode_to_gdf([{'country':'Mexico'}, 'Guatemala', {'state':'Texas'}])\n",
    "mx_gt_tx = ox.project_gdf(mx_gt_tx)\n",
    "ax = mx_gt_tx.plot(fc='gray', ec='w')\n",
    "_ = ax.axis('off')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you query 'France', OSM returns the country with all its overseas territories as result 1 and European France alone as result 2. Passing `which_result=2` instead specifically retrieves the 2nd geocoding result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "france = ox.geocode_to_gdf('France', which_result=2)\n",
    "france = ox.project_gdf(france)\n",
    "ax = france.plot(fc='gray', ec='none')\n",
    "_ = ax.axis('off')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, note that you can also query by OSM ID rather than place name by passing `by_osmid=True` to the function. See documentation for usage details.\n",
    "\n",
    "## 2. Get street networks by place name\n",
    "\n",
    "This \"by place\" querying logic works the same as the place boundary querying we just saw above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get the walking network for piedmont\n",
    "G = ox.graph_from_place('Piedmont, California, USA', network_type='walk')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# you can also get a network with a buffer distance (meters) around the place\n",
    "G = ox.graph_from_place('Piedmont, California, USA', network_type='walk', buffer_dist=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create a network from multiple places\n",
    "places = ['Piedmont, California, USA', \n",
    "          'Berkeley, California, USA',\n",
    "          'Emeryville, California, USA']\n",
    "\n",
    "# use retain_all if you want to keep all disconnected subgraphs (e.g. when your places aren't adjacent)\n",
    "G = ox.graph_from_place(places, network_type='drive', retain_all=True)\n",
    "fig, ax = ox.plot_graph(G, node_size=0, edge_color='#FFFF5C', edge_linewidth=0.25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# or create a network from structured place queries\n",
    "places = [{'city':'Daly City', 'state':'California'}, \n",
    "         {'city':'South San Francisco', 'state':'California'}]\n",
    "G = ox.graph_from_place(places, network_type='drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get the network for the borough of manhattan\n",
    "G = ox.graph_from_place('Manhattan, New York, New York, USA', network_type='drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get the network for the financial district neighborhood in downtown LA\n",
    "place = 'Financial District, Los Angeles, California, USA'\n",
    "G = ox.graph_from_place(place, network_type='drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 43.4 s, sys: 430 ms, total: 43.9 s\n",
      "Wall time: 43.8 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# get the network for all of LA\n",
    "# takes a couple minutes to do all the downloading and processing\n",
    "place = 'Los Angeles, California, USA'\n",
    "G = ox.graph_from_place(place, network_type='drive', simplify=False, retain_all=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a network constrained to the shape of hong kong island\n",
    "G = ox.graph_from_place('Hong Kong Island', network_type='drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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